Environmental Data Analysis : : Methods and Applications / / Zhihua Zhang.
With the dramatic development of air-space-ground-sea environmental monitoring networks and large-scale high-resolution Earth simulators, Environmental science is facing opportunities and challenges of big data. Environmental Data Analysis focuses on state-of-the-art models and methods for big envir...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2023] ©2023 |
Year of Publication: | 2023 |
Edition: | 2nd Edition |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (XII, 388 p.) |
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001 | 9783111012681 | ||
003 | DE-B1597 | ||
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072 | 7 | |a SCI013000 |2 bisacsh | |
100 | 1 | |a Zhang, Zhihua, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
245 | 1 | 0 | |a Environmental Data Analysis : |b Methods and Applications / |c Zhihua Zhang. |
250 | |a 2nd Edition | ||
264 | 1 | |a Berlin ; |a Boston : |b De Gruyter, |c [2023] | |
264 | 4 | |c ©2023 | |
300 | |a 1 online resource (XII, 388 p.) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
347 | |a text file |b PDF |2 rda | ||
505 | 0 | 0 | |t Frontmatter -- |t Preface of the 2nd edition -- |t Preface -- |t Contents -- |t 1 Time series analysis -- |t 2 Chaos and dynamical systems -- |t 3 Approximation -- |t 4 Interpolation -- |t 5 Patterns -- |t 6 Estimates -- |t 7 Optimization -- |t 8 Data envelopment analysis -- |t 9 Risk assessments -- |t 10 Life cycle assessments -- |t 11 Networks -- |t Index |
506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
520 | |a With the dramatic development of air-space-ground-sea environmental monitoring networks and large-scale high-resolution Earth simulators, Environmental science is facing opportunities and challenges of big data. Environmental Data Analysis focuses on state-of-the-art models and methods for big environmental data and demonstrates their applications through various case studies in the real world. It covers the comprehensive range of topics in data analysis in space, time and spectral domains, including linear and nonlinear environmental systems, feature extraction models, data envelopment analysis, risk assessments, and life cycle assessments. The 2nd Edition adds emerging network models, including neural networks, complex networks, downscaling analysis and streaming data on network. This book is a concise and self-contained work with enormous amount of information. It is a must-read for environmental scientists who struggle to conduct big data mining and data scientists who try to find the way into environmental science. | ||
530 | |a Issued also in print. | ||
538 | |a Mode of access: Internet via World Wide Web. | ||
546 | |a In English. | ||
588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) | |
650 | 4 | |a Datenanalyse. | |
650 | 4 | |a Mathematik. | |
650 | 4 | |a Umweltwissenschaft. | |
650 | 7 | |a SCIENCE / Chemistry / General. |2 bisacsh | |
653 | |a Data Analysis. | ||
653 | |a Environmental Science. | ||
653 | |a Mathematics. | ||
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t DG Plus DeG Package 2023 Part 1 |z 9783111175782 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 English |z 9783111319292 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE COMPLETE 2023 |z 9783111318912 |o ZDB-23-DGG |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 English |z 9783111319230 |
773 | 0 | 8 | |i Title is part of eBook package: |d De Gruyter |t EBOOK PACKAGE Physics, Chemistry, Mat.Sc, Geosc 2023 |z 9783111318660 |o ZDB-23-DPC |
776 | 0 | |c EPUB |z 9783111012919 | |
776 | 0 | |c print |z 9783111012544 | |
856 | 4 | 0 | |u https://doi.org/10.1515/9783111012681 |
856 | 4 | 0 | |u https://www.degruyter.com/isbn/9783111012681 |
856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9783111012681/original |
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